A robust block adaptive algorithm using the average of the divided direction vectors for the observed noise

Citation
S. Yoshimoto et al., A robust block adaptive algorithm using the average of the divided direction vectors for the observed noise, ELEC C JP 3, 84(2), 2001, pp. 47-55
Citations number
17
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE
ISSN journal
1042-0967 → ACNP
Volume
84
Issue
2
Year of publication
2001
Pages
47 - 55
Database
ISI
SICI code
1042-0967(2001)84:2<47:ARBAAU>2.0.ZU;2-4
Abstract
A block orthogonal projection algorithm is proposed as a technique to balan ce convergence speed with computational complexity. However, if the observe d noise is convolved with the output signal of an unknown system, a shortco ming of the block orthogonal projection algorithm is the susceptibility of the convergence characteristics to noise. To prevent degradation of the est imation accuracy, usually an operation is adopted to control the step gain in the adaptive algorithm by some technique or to average the coefficient v ectors. Sometimes the expected results are not achieved by methods employin g these techniques. In this paper, taking the perspective of the general th eory of an orthogonal projection algorithm represented by a Moore-Penrose g eneralized inverse matrix, we propose an algorithm that attains excellent e stimation accuracy by averaging over time the components constructed from t he observed signal contained in the corrected direction vectors. This algor ithm can be applied only under the conditions of the signal being uncorrela ted to the observed noise and the noise having a zero mean. The convergence characteristics are examined by a computer simulation. (C) 2000 Scripta Te chnica, Electron Comm Jpn Pt 3, 84(2): 47-55, 2001.